Andrea Maldonado

According to our database, Andrea Maldonado authored at least 17 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Hierarchical structuring of bilaterally expanding subtrace patterns for efficient tree-based activity suffix prediction.

Simon Rauch, Christian M. M. Frey, Andrea Maldonado, Daniel Schuster, Gabriel M. Tavares, Thomas Seidl

Process Sci., December, 2026

Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams.

Andrea Maldonado, Christian Imenkamp, Hendrik Reiter, Thomas Seidl, Wilhelm Hasselbring, Martin Werner, Agnes Koschmider

CoRR, April, 2026

AVOCADO: The Streaming Process Mining Challenge.

Christian Imenkamp, Andrea Maldonado, Hendrik Reiter, Martin Werner, Wilhelm Hasselbring, Agnes Koschmider, Andrea Burattin

Proceedings of the Modellierung 2026, Bayreuth, Germany, 2026

2025

Supplementary datasets to in "Know Your Streams: On the Conceptualization, Characterization, and Generation of Intentional Event Streams".

Andrea Maldonado, Christian Imenkamp, Hendrik Reiter, Martin Werner, Wilhelm Hasselbring, Agnes Koschmider

Dataset, August, 2025

Explaining the impact of data characteristics on process mining algorithms.

Andrea Maldonado

PhD thesis, 2025

SHAining on Process Mining: Explaining Event Log Characteristics Impact on Algorithms.

Andrea Maldonado, Christian M. M. Frey, Sai Anirudh Aryasomayajula, Ludwig Zellner, Stephan A. Fahrenkrog-Petersen, Thomas Seidl

Proceedings of the 7th International Conference on Process Mining, 2025

The PM-EdgeMap: Towards Real-Time Process Mining on the Edge-Cloud Continuum.

Hendrik Reiter, Christian Imenkamp, Olaf Landsiedel, Andrea Maldonado, Patrick Rathje, Wilhelm Hasselbring

Proceedings of the Business Process Management Workshops, 2025

BEST: Bilaterally Expanding Subtrace Tree for Event Sequence Prediction.

Simon Rauch, Christian M. M. Frey, Andrea Maldonado, Thomas Seidl

Proceedings of the Business Process Management - 23rd International Conference, 2025

2024

Data-Driven Approaches Towards Transparent Benchmarking of Process Mining Tasks.

Andrea Maldonado

Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024

iGEDI: interactive Generating Event Data with Intentional Features.

Andrea Maldonado, Sai Anirudh Aryasomayajula, Christian M. M. Frey, Thomas Seidl

Proceedings of the Doctoral Consortium and Demo Track 2024 at the International Conference on Process Mining 2024 co-located with the 6th International Conference on Process Mining (ICPM 2024), 2024

DROPP: Structure-Aware PCA for Ordered Data: A General Method and its Applications in Climate Research and Molecular Dynamics.

Anna Beer, Olivér Palotás, Andrea Maldonado, Andrew Draganov, Ira Assent

Proceedings of the 40th IEEE International Conference on Data Engineering, 2024

GEDI: Generating Event Data with Intentional Features for Benchmarking Process Mining.

Andrea Maldonado, Christian M. M. Frey, Gabriel Marques Tavares, Nikolina Rehwald, Thomas Seidl

Proceedings of the Business Process Management - 22nd International Conference, 2024

2023

Process Mining Techniques for Collusion Detection in Online Exams.

Andrea Maldonado, Ludwig Zellner, Sven Strickroth, Thomas Seidl

Proceedings of the Process Mining Workshops, 2023

FEEED: Feature Extraction from Event Data.

Andrea Maldonado, Gabriel Marques Tavares, Rafael Seidi Oyamada, Paolo Ceravolo, Thomas Seidl

Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

2020

Concept Drift Detection on Streaming Data with Dynamic Outlier Aggregation.

Ludwig Zellner, Florian Richter, Janina Sontheim, Andrea Maldonado, Thomas Seidl

Proceedings of the Process Mining Workshops, 2020

OTOSO: Online Trace Ordering for Structural Overviews.

Florian Richter, Andrea Maldonado, Ludwig Zellner, Thomas Seidl

Proceedings of the Process Mining Workshops, 2020

Performance Skyline: Inferring Process Performance Models from Interval Events.

Andrea Maldonado, Janina Sontheim, Florian Richter, Thomas Seidl

Proceedings of the Process Mining Workshops, 2020